Detecting bunch withering disorder in date fruit by near infrared spectroscopy
作者： Seyed Ahmad Mireei , Morteza Sadeghi
DOI: 10.1016/J.JFOODENG.2012.08.032
关键词: Linear discriminant analysis 、 Principal component analysis 、 Date Fruit 、 Chemistry 、 Ripening 、 Pattern recognition 、 Analytical chemistry 、 Classification methods 、 Artificial intelligence 、 Near-infrared spectroscopy 、 Data set 、 Partial least squares regression
摘要: Abstract This study introduces the application of near infrared spectroscopy (NIRs) to detect bunch withering disorder in date fruit (cv. Mazafati). The samples included intact as well infected fruits at different stages ripening. Chemometric evaluation data was performed by soft independent modeling class analogy (SIMCA), partial least squares discriminant analysis (PLS-DA), and principal components combined with artificial neural networks (PCA–ANN). PLS-DA algorithm able provide models best classification performance, followed SIMCA then PCA–ANN. maturity stage influenced performance methods. accuracy for late harvested better than those normal time set all analyses. total accuracies 82%, 93% 86%, respectively normal, sets demonstrate that NIRs has a strong potential fruit.
sci-hub.se 参考文章(14)
K. H. Norris, Phil Williams, Near-Infrared Technology: In the Agricultural and Food Industries ,(2001)
J. Wang, K. Nakano, S. Ohashi, Nondestructive detection of internal insect infestation in jujubes using visible and near-infrared spectroscopy Postharvest Biology and Technology. ,vol. 59, pp. 272- 279 ,(2011) , 10.1016/J.POSTHARVBIO.2010.09.017
O. Galtier, O. Abbas, Y. Le Dréau, C. Rebufa, J. Kister, J. Artaud, N. Dupuy, Comparison of PLS1-DA, PLS2-DA and SIMCA for classification by origin of crude petroleum oils by MIR and virgin olive oils by NIR for different spectral regions Vibrational Spectroscopy. ,vol. 55, pp. 132- 140 ,(2011) , 10.1016/J.VIBSPEC.2010.09.012
Johan A. Westerhuis, Huub C. J. Hoefsloot, Suzanne Smit, Daniel J. Vis, Age K. Smilde, Ewoud J. J. van Velzen, John P. M. van Duijnhoven, Ferdi A. van Dorsten, Assessment of PLSDA cross validation Metabolomics. ,vol. 4, pp. 81- 89 ,(2008) , 10.1007/S11306-007-0099-6
Juan Xing, Daniel Guyer, Detecting internal insect infestation in tart cherry using transmittance spectroscopy Postharvest Biology and Technology. ,vol. 49, pp. 411- 416 ,(2008) , 10.1016/J.POSTHARVBIO.2008.03.018
Juan Xing, Cedric Bravo, Dimitrios Moshou, Herman Ramon, Josse De Baerdemaeker, Bruise detection on 'Golden Delicious' apples by vis/NIR spectroscopy Computers and Electronics in Agriculture. ,vol. 52, pp. 11- 20 ,(2006) , 10.1016/J.COMPAG.2006.01.006
Federico Hahn, Irineo Lopez, Guadalupe Hernandez, Spectral Detection and Neural Network Discrimination of Rhizopus Stolonifer Spores on Red Tomatoes Biosystems Engineering. ,vol. 89, pp. 93- 99 ,(2004) , 10.1016/J.BIOSYSTEMSENG.2004.02.012
Luis A. Berrueta, Rosa M. Alonso-Salces, Károly Héberger, Supervised pattern recognition in food analysis. Journal of Chromatography A. ,vol. 1158, pp. 196- 214 ,(2007) , 10.1016/J.CHROMA.2007.05.024
R. P. Haff, T. Pearson, SPECTRAL BAND SELECTION FOR OPTICAL SORTING OF PISTACHIO NUT DEFECTS Transactions of the ASABE. ,vol. 49, pp. 1105- 1113 ,(2006) , 10.13031/2013.21716
Sontisuk Teerachaichayut, Anupun Terdwongworakul, Warunee Thanapase, Kazuaki Kiji, Non-destructive prediction of hardening pericarp disorder in intact mangosteen by near infrared transmittance spectroscopy Journal of Food Engineering. ,vol. 106, pp. 206- 211 ,(2011) , 10.1016/J.JFOODENG.2011.05.007